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Abstract
Based on a state-of-the-art review, T1.2 establishes the internal assumptions, scenarios and definitions on which FLOW bases its work. This is an important step in giving FLOW partners a common and synchronized framework. T1.2 starts by providing VGI definitions and terminology used in FLOW and promoted as commonly accepted in all the relevant fields.
High-level EVs mass deployment scenarios are listed according to literature review/roadmaps - and serves as an input to WP5. T1.2 also focuses on charging technologies and forecasts to establish the state-of-the-art of charging technologies from partner experiences which includes charging power, efficiency, technical capabilities, battery loss (DTU PowerLab, IREC SmartEnergy lab, BMW), etc. The task touches upon disruptive charging technologies including ultrafast charging, inductive public charging which may change charging patterns significantly. Finally, T1.2 presents scenarios definition for EV charging demand (per location type) in terms of energy demand and flexibility quantification.
High-level EVs mass deployment scenarios are listed according to literature review/roadmaps - and serves as an input to WP5. T1.2 also focuses on charging technologies and forecasts to establish the state-of-the-art of charging technologies from partner experiences which includes charging power, efficiency, technical capabilities, battery loss (DTU PowerLab, IREC SmartEnergy lab, BMW), etc. The task touches upon disruptive charging technologies including ultrafast charging, inductive public charging which may change charging patterns significantly. Finally, T1.2 presents scenarios definition for EV charging demand (per location type) in terms of energy demand and flexibility quantification.
Original language | English |
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Publisher | Flow |
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Number of pages | 40 |
Publication status | Published - 2023 |
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Dive into the research topics of 'FLOW's D1.2 - Baseline: Scenarios and definitions'. Together they form a unique fingerprint.Projects
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FLOW: Flexible Energy systems Leveraging the Optimal Integration of EVs Deployment Wave
Andersen, P. B. (PI), Jensen, A. F. (CoI), Secchi, M. (PI), Marinelli, M. (PI), Pastorelli, F. (Project Participant), Pediaditis, P. (Project Participant), Sevdari, K. (Project Participant) & Unterluggauer, T. (Project Participant)
01/07/2022 → 30/06/2026
Project: Research